Magma Receives NVIDIA Certification for ExpressBox 3600

Magma Receives NVIDIA Certification for ExpressBox 3600

Magma Receives NVIDIA Certification for ExpressBox 3600

High Performance Computing chassis, ExpressBox 3600, tested and ready for use with NVIDIA K40 GPUs.

San Diego, Calif. (July 15, 2014) – Magma announced today that it has received certification for its new ExpressBox 3600 (EB3600)expansion platform with NVIDIA K40 GPUs. To receive certification, Magma worked closely with NVIDIA to complete an extensive system certification process, which included rigorous thermal and bandwidth tests. This certification allows customers to confidently select the EB3600 as a reliable expansion platform for their high performance GPU processing applications, ensuring that the NVIDIA accelerators will perform as expected and be protected within the appropriate cooling environment.

“Receiving NVIDIA certification was an important step for the EB3600,” said Tim Miller, president of Magma. “We appreciate the support that we receive from the NVIDIA team and look forward to working with them to further expand high performance computing capabilities for our customers.”

Magma has also worked extensively with numerous server OEMs to verify compatibility of the EB3600 GPU expansion systems. The EB3600 compatibility has been confirmed with numerous server and workstation models, making the EB3600 a solid choice for a wide variety of high performance computing configurations. Customers looking to build high performance computing systems should contact their Magma sales representative to receive assistance on architecting an ideal solution with recommendations based upon their application requirements.

“PCI Express expansion solutions are an important part of the High Performance Computing ecosystem and provide flexibility to increase the GPU ratio in servers for critical applications,” said Roy Kim, group manager of the Accelerated Computing Business at NVIDIA. “Magma has created an exceptional solution that delivers to virtually any server the processing might of nine Tesla GPU accelerators to solve challenging computational problems in a variety of new markets.”

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